Skip to main content

PTV’s RIO method for signal control optimisation wins award

PTV has beaten 70 competitors to win the prize for the best solution in the category Mobility and Logistics, in the Bitkom (the German Association of Towns and Municipalities) Urban Solutions Pitch.
March 19, 2012 Read time: 2 mins

PTV has beaten 70 competitors to win the prize for the best solution in the category Mobility and Logistics, in the Bitkom (the German Association of Towns and Municipalities) Urban Solutions Pitch. a competition which is part of CeBIT 2012 which is being held from 6-12 March. PTV won the award for RIO (Road Intersection Optimisation), an innovative method for traffic signal control optimisation.

"So far traffic signal control systems have only been analysed for individual intersections or a sequence of intersections. These results have been used as the basis for signal control optimisation," explains PTV Board member Thomas Haupt. "However, this restricted analysis does not provide a consistent view of the entire traffic flow."

The RIO method now enables planners to take a much larger area into consideration, even entire cities, including competing traffic flows, Haupt claims. It uses a demand-based transportation model. PTV says this means that it is scalable in terms of time and space or for different traffic management scenarios. If conditions change, for example due to road construction or busy shopping days, the traffic signal control system can be quickly adjusted to the new situation.

"Users in Brazil and the Dominican Republic have already applied the RIO method ," says Haupt. "We also use the transportation planning software Visum which is part of our PTV Vision software suite for the application."

The software is based on an integrated approach and can be used for both navigation networks and autonavigation. Data generated by means of the RIO methods can be used for all levels of transportation planning and traffic engineering. As a result, PTV claims its RIO innovation is the ideal solution for dealing with individual challenges and addressing complex urban issues, such as permanent traffic jams.

Related Content

  • PTV’s novel traffic analysis system
    April 25, 2013
    German traffic analysis consultant and software maker PTV, which produces the well-known Visum and Vissim strategic traffic analysis and micro-simulation tools, has launched a new assessment tool aimed at studying traffic impact of new developments. PTV Vistro is claimed to be the first all-in­ one-solution for transport analysis and signal optimisation, an easy-to-use software that can be used to conduct traffic studies which are often a mandatory part of development applications and planning approvals.
  • New software tools for the highway sector will optimise efficiency
    August 22, 2013
    New software development will help ease deliver more efficient operations to the highway sector - Adrian Greeman reports Traffic modelling and simulation tools are being used for real-time analysis on a large scale traffic control system in Italy. A new traffic control system for the huge Piedmont region in northern Italy begins trial operations this summer after an eighteen month development and installation process. It will be the largest ever installed by German traffic engineering company PTV, via
  • SMIGHT and PTV in real-time traffic solution
    November 13, 2018
    SMIGHT, maker of traffic data management systems and hardware, has teamed up with traffic management software developer PTV Group to create a traffic management package. Cities and municipalities can use the new solution to analyse traffic flows and plan ahead to reduce traffic volume on roads and in regions. SMIGHT intelligent street lighting and multifunctional base towers can be equipped with features such as public WiFi, charging technology for electric cars or sensors for recording traffic data and en
  • PTV software for CycleRAP pilot
    July 28, 2023
    The latest technology of PTV’s Model2Go and PTV Visum will be used to create a model of the city generated by using OpenStreetMap data for a detailed urban bicycle network configuration.